TWI648029B - Sleep quality monitoring system - Google Patents

Abstract

A sleep quality monitoring system includes a physiological measuring device and a data processing device. The physiological measuring device measures and records the body temperature associated with a human body during sleep, and outputs a body temperature data relating to the body temperature of the human body as a function of time. The data processing device is connected to the physiological measurement device, and the data processing device receives the body temperature data, and analyzes and outputs a sleep state according to the body temperature data, and determines a sleep effect of the human body according to at least the sleep state. The invention can measure and record the body temperature when the human body sleeps, and can automatically analyze the effect and quality of the human body sleep according to the recorded body temperature, and has the advantages of low human factors and low cost.

Description

Sleep quality monitoring system

The invention relates to a monitoring system, in particular to a sleep quality monitoring system capable of recording the sleep state of a human body for a long time.

In general, to analyze the sleep state of a human body, an electroencephalography (EEG) oximeter is usually used to record and record the electroencephalogram data outputted by the electroencephalograph when the human body sleeps. Non-Rapid Eye Movement (NREM) and Rapid Eye Movement (REM). However, because the EEG scanner is a professional medical instrument, it needs to be operated by professionals and read data to function. Moreover, the EEG scanner is expensive, and only large medical institutions can afford and purchase.

Therefore, there is a sleep assisting device disclosed in the TW certificate No. I405559 patent, which is not only portable, but also allows the user to record physiological information and self-assessment before and after sleep, and Automatically output suggestions based on recorded information to help users improve their sleep.

However, although the sleep assisting device is convenient to carry, it cannot actually measure the physiological information of the user during sleep, and therefore cannot identify and analyze various states during the sleep period, only by the user before and after sleep. The physiological record and the self-assessed questionnaire evaluation judge the user's sleep quality, which makes the information reliability and objectivity of the sleep aid device are not ideal.

Accordingly, it is an object of the present invention to provide a sleep quality monitoring system that can measure and record physiological information during sleep of a human body and automatically analyze sleep quality based on recorded physiological information and at a lower cost.

Thus, the sleep quality monitoring system of the present invention comprises a physiological measuring device and a data processing device.

The physiological measuring device measures and records the body temperature associated with a human body during sleep, and outputs a body temperature data relating to the body temperature of the human body as a function of time.

The data processing device is connected to the physiological measurement device, and the data processing device receives the body temperature data, and analyzes and outputs a sleep state according to the body temperature data, and determines a sleep effect of the human body according to at least the sleep state.

The utility model has the advantages that: the physiological measuring device actually measures and records the physiological information of the human body during sleep, and the problem of non-objective factors and reliability caused by human factors can be completely eliminated. In addition, the data processing device can perform correlation analysis of sleep quality using only the body temperature data of the human body, and can achieve cost reduction.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same reference numerals.

Referring to FIG. 1 , a first embodiment of a sleep quality monitoring system according to the present invention includes a physiological measuring device 1 , a data processing device 2 , an information display device 3 , and an environment monitoring device 4 .

The physiological measuring device 1 measures and records the body temperature associated with a human body during sleep, and outputs a body temperature data relating to the body temperature of the human body as a function of time. The physiological measuring device 1 includes a temperature measuring unit 11 for measuring the body temperature of the human body, a storage unit 12 electrically connected to the temperature measuring unit 11, a interface unit 13 electrically connected to the storage unit 12, and a The temperature measuring unit 11, the storage unit 12 and the battery unit 14 of the interface unit 13 are powered.

The temperature measuring unit 11 outputs the body temperature data for storage by the storage unit 12 according to the measured body temperature, and the storage unit 12 outputs the body temperature data and outputs the same through the interface unit 13. In this embodiment, the interface unit 13 is substantially a universal serial bus (USB) interface, but is not limited thereto. The interface unit may also be a wireless transmission interface, such as Bluetooth or wireless local area network. (Wi-Fi) or mobile communication network.

In the embodiment, the physiological measuring device 1 can be attached to the human body, and the temperature measuring unit 11 measures the body temperature by using a contact method, but is not limited thereto. In addition, the physiological measuring device 1 is substantially a patch having a diameter similar to a coin, and can be attached to a temperature measuring point of the human body, such as a lower arm. The advantage of using the patch to measure body temperature is that the patch is measured by contact, so it is not susceptible to environmental interference and can accurately measure the body temperature of the human body. The patch used in this embodiment has a temperature measurement accuracy of ±0.05 ° C in a reaction time of 90 seconds.

The data processing device 2 is signally connected to the interface unit 13 of the physiological measuring device 1, and the data processing device 2 receives the body temperature data. The data processing device 2 includes a transmission interface unit 21 corresponding to the interface unit 13 of the physiological measurement device 1, a data storage unit 22 coupled to the transmission interface unit 21, and a signal connection with the data storage unit 22. Data analysis unit 23. In this embodiment, the data processing device 2 is substantially a handheld electronic device, but not limited thereto. The data processing device 2 can also be a server device having a cloud computing function.

The transmission interface unit 21 receives the body temperature data from the interface unit 13 and outputs a temporary storage data related to the body temperature data. The data storage unit 22 receives and stores the temporary storage data and outputs a related information to the temporary storage data. The data analysis unit 23 receives and analyzes the data to be analyzed and outputs at least one sleep effect. It can be understood that the transmission interface unit 21 is a data transmission interface corresponding to the interface unit 13 of the physiological measurement device 1. Therefore, in the embodiment, the transmission interface unit 21 is substantially a universal serial bus interface. However, not limited thereto, the transmission interface unit 21 may also be a wireless transmission interface such as a Bluetooth, a wireless local area network, or a mobile communication network.

Referring to FIG. 1 and FIG. 3, the body temperature data outputted by the physiological measurement device 1 to the data processing device 2 after the sleep of the human body is completed on the first measurement day of the sleep quality monitoring system of the present invention.

The data analysis unit 23 of the data processing device 2 analyzes a bedtime T1 and a sleep time T2 based on the data to be analyzed, and calculates a sleep time interval T3 according to the bedtime T1 and the sleep time T2. The bedtime T1 is the time at which the temperature measuring unit 11 of the physiological measuring device 1 starts recording the body temperature of the human body, and the sleeping time T2 is the first occurrence of a saddle point in the curve of the body temperature of the human body as a function of time. The time, the sleep interval T3 is the length of time between the bedtime T1 and the sleep time T2.

The data analysis unit 23 analyzes the sleep effect according to the sleep interval T3. If the sleep interval T3 is not less than a first discrimination time interval, the data analysis unit 23 determines that the sleep effect is not good; if the sleep time interval If the T3 is not greater than a second discriminating time interval, the data analyzing unit 23 determines that the sleep effect is better; if the sleep time interval T3 is between the second discriminating time interval and the first discriminating time interval, the data analyzing unit 23: The sleep effect is determined to be normal, and the first discriminating time interval is greater than the second discriminating time interval. In this embodiment, the first discriminating time interval is 30 minutes, and the second discriminating time interval is 15 minutes, but is not limited thereto.

It should be noted that although the sleep effect of the present embodiment is classified into three levels of "normal", "good", and "poor" according to the distance T3 during sleep, the practical application is not limited thereto. The sleep effect may be presented in the order of several orders of magnitude, such as ten grades, or may be presented in the form of icons, such as smiles, crying faces, and the like.

The data analysis unit 23 further analyzes a bed temperature TP, a wake time T4, and a total sleep time interval T5 according to the data to be analyzed. The bed temperature TP is the body temperature of the human body at the bedtime T1, and the wake time T4 is the time when the body temperature of the human body rises to the bed temperature TP and is not lower than the bed temperature TP, and the total sleep time interval T5 is The length of time between the bedtime T1 and the wake-up time T4.

The data analysis unit 23 further analyzes a sleep state report according to the data to be analyzed, and reports the number of changes from the deep sleep to the light sleep and from the light sleep to the deep sleep during the sleep according to the sleep state and the total sleep. The ratio of the time interval T5 calculates a sleep quality. In this embodiment, the sleep state report provides the number of times the person changes from deep sleep to light sleep and from shallow sleep to deep sleep during sleep, and the number of times the human body turns over during sleep, but is not limited thereto.

It should be noted that although the sleep quality of the embodiment is presented in a ratio, the practical quality is not limited thereto, and the sleep quality may be several orders of magnitude normalized. , as shown in the form of ten grades.

The information display device 3 is connected to the data analysis unit 23 of the data processing device 2, and receives the bedtime T1, the sleep time T2, the sleep time T3, the sleep effect, and the bed temperature. TP, the wake-up time T4, the total sleep time interval T5, the sleep state report, and the sleep quality degree are displayed for the user to fully understand their sleep state and quality. In a more compact implementation, the data analysis unit 23 can also output only the sleep effect for display by the information display device 3 to reduce the amount of data transmission and reduce the design cost.

In this embodiment, the information display device 3 is substantially a small liquid crystal display (LCD) electrically connected to the data analysis unit 23 of the data processing device 2, but is not limited thereto, and the information display device 3 may also be a An electronic device having a display function and being signally connected to the data processing device 2 by wireless transmission.

The sleep quality monitoring system of the present invention utilizes the body temperature of the human body during sleep to perform correlation analysis of the human body sleep quality, and the principle is as follows:

The body temperature in normal people will change regularly with external factors such as sunrise and sunset and melatonin and other internal factors. For example, the average body temperature of the human body during daytime activities is normally higher than the average body temperature during sleep at night, so the body temperature is usually maintained at night, except that the secretion of melatonin is increased. Relatively low temperature.

In addition, because physiological signals such as brain waves, heartbeats, and blood pressure often cause relatively dramatic changes in a short period of time due to external environmental changes or internal physiological and psychological stress, such physiological measurement data must usually be supplemented by professionals. And with the user's daily physiological record for manual judgment and interpretation, it has a certain degree of reference effectiveness. However, because human beings are warm-blooded animals, the body temperature of the human body has a relatively slow and regular fluctuation period compared with other physiological signals such as brain waves, heartbeats, blood pressure, etc., and is suitable as an indicator for long-term observation and automated analysis.

According to the results of research since 1953, during a complete sleep cycle of the human body, non-rapid eye movements and rapid eye movements will alternately appear. When sleeping, the degree of sleep from shallow to deep, first enters the non-rapid eye movement period, then enters the fast eye movement period from the non-rapid eye movement period, and then returns from the rapid eye movement period to the non-rapid eye movement period, during the whole sleep period of the human body. It will be spent in such a cycle of alternating cycles.

In addition, according to the results published by Gillberg et al. in 1982, the body temperature begins to decline after bedtime, and body temperature rises when it is awakened; (Source: M. Gillberg and T. Akerstedt, “Body temperature and Sleep at different times of day,” Sleep , 5, pp. 378-388, 1982)

Another study by Murphy et al. in 1997 found that the maximum rate of body temperature decline in the human body occurs during the period before bedtime. (Original: PJ Murphy and SS Campbell, “Nighttime drop in body temperature: a physiological trigger for sleep onset?” Sleep , 20, pp. 505-511, 1997)

Moreover, through the observation of the inventor for a long time and a large amount of data, when the sleep of the human body enters the rapid eye movement period, the body temperature of the human body will increase and the breathing will become faster than the non-rapid eye movement period. Irregular. Therefore, referring to Fig. 2, combining the above discussion, the following conclusion can be drawn: the time when the saddle point appears for the first time in the curve of body temperature change with time during sleep is the moment when the human body really sleeps for the first time, that is, the sleep Time T2.

Referring to FIG. 1 and FIG. 3, the actual measured body temperature data is taken as an explanation, and the curve 91 shows the body temperature change with time in the first measurement day of sleep.

The data processing device 2 automatically analyzes the bedtime T1 as the second minute according to the body temperature data of the first measurement day, the bed temperature TP is 36.38 ° C, and the sleep time T2 is the 74th minute, so the sleep time T3 It is 72 minutes. Since the sleep time T3 is greater than 30 minutes, the sleep effect is judged to be poor. The wake-up time T4 is the 331th minute, so the total sleep time interval T5 is 329 minutes, which is about 5.5 hours. The body temperature data is terminated when the user removes the physiological measuring device 1 from the human body. As shown in FIG. 3, the total time length recorded by the curve 91 is 358 minutes.

The data processing device 2 also automatically analyzes the sleep state report according to the body temperature data of the first measurement day, the sleep state report indicates: the change from deep sleep to light sleep and from light sleep to deep sleep during sleep of the human body The number of times is eight, and the number of times the body turns over during sleep is once, so the sleep quality is 8/329 = 24.3 ‰.

Referring to FIG. 1 and FIG. 4, the actual measured body temperature data is also shown, and curve 92 shows the body temperature change with time in the second measurement day of sleep.

The data processing device 2 automatically analyzes the bedtime T1 as the second minute according to the body temperature data of the second measurement day, the bed temperature TP is 36.4 ° C, and the sleep time T2 is the 77th minute, so the sleep time T3 It is 75 minutes. Since the sleep time T3 is greater than 30 minutes, the sleep effect is judged to be poor. The wake-up time T4 is the 374th minute, so the total sleep time interval T5 is 372 minutes, which is about 6.2 hours. The body temperature data also terminates when the user removes the physiological measuring device 1 from the human body. As shown in FIG. 4, the total time length recorded by the curve 92 is 383 minutes.

The data processing device 2 also automatically analyzes the sleep state report according to the body temperature data of the second measurement day, the sleep state report indicates: the change from deep sleep to light sleep and from light sleep to deep sleep during sleep of the human body The number of times is four times. The number of times the body turns over during sleep is twice. Therefore, the sleep quality is 4/372=10.8‰, and it is known that the sleep quality of the human body on the second measurement day is worse than the first measurement day difference. .

Referring to FIG. 1 and FIG. 5, the body temperature data measured by actual measurement is also used. The curve 93 shows the change of the body temperature of the human body with time in the third measurement day.

The data processing device 2 automatically analyzes the bedtime T1 as the second minute according to the body temperature data of the third measurement day, the bed temperature TP is 36.36 ° C, and the sleep time T2 is the 18th minute, so the sleep time T3 It is 16 minutes. Since the sleep interval T3 is between 15 minutes and 30 minutes, the sleep effect is judged to be normal. The wake-up time T4 is the 331th minute, so the total sleep time interval T5 is 329 minutes, which is about 5.5 hours. The body temperature data is terminated when the user removes the physiological measuring device 1 from the human body, as shown in FIG. 5, and the length of time recorded by the curve 93 is 334 minutes.

The data processing device 2 also automatically analyzes the sleep state report according to the body temperature data of the third measurement day, the sleep state report indicates: the change from deep sleep to light sleep and from light sleep to deep sleep during sleep of the human body The number of times is eight, the number of times the body turns over during sleep is zero. Therefore, the sleep quality is 8/329=24.3‰, which shows that the sleep quality of the human body in the third measurement day is better than the second measurement day. .

It can be understood that the sleep quality monitoring system of the present invention can also enable the user to track the long-term sleep quality, for example, measuring and recording the body temperature during the 180-day sleep period, and how many days the data processing device 2 can store. The body temperature data is based on the amount of memory capacity of the data storage unit 22.

Through the above description, the advantages of the present invention can be further summarized as follows:

1. The present invention uses the physiological measuring device 1 to actually measure and record the body temperature of the human body during sleep, and outputs the body temperature data to the data processing device 2 for correlation analysis of sleep state and quality, compared with the existing sleep assisting. The device can completely eliminate the non-objective factors and reliability problems caused by human factors, and the analysis results have high reference value. Furthermore, the data processing device 2 of the present invention can automatically perform a plurality of analyses relating to the sleep quality of the human body by using only the body temperature data of the human body. Compared with the existing electroencephalograph, the present invention has low cost and can be carried with the body. The advantage of carrying.

2. The present invention utilizes the body temperature of the human body to analyze and evaluate the effect, state and quality of the human sleep, compared with the technique of using other physiological information for sleep evaluation, because the body temperature of the human body changes with time and the data is not easy to appear. Such as brain waves, heartbeats and blood pressure, such as the beating, so the invention can be fully automated, stylized, digitally processed in the interpretation and analysis of the data, without the need to introduce any manual implementation, with the potential of artificial intelligence applications.

Referring to Figure 6, a second embodiment of the present invention is similar to the first embodiment. The difference between this second embodiment and the first embodiment is that:

The data processing device 2 includes a data storage unit 22 electrically coupled to the physiological measurement device 1, and a data analysis unit 23 coupled to the data storage unit 22. The data storage unit 22 receives and stores the body temperature data and outputs a data to be analyzed related to the body temperature data, and the data analysis unit 23 receives and analyzes the data to be analyzed and outputs at least the sleep effect. In the present embodiment, the physiological measuring device 1 is substantially a basic type of temperature measuring patch, but is not limited thereto, and may be a micro temperature sensor such as an infrared thermometer.

As such, the second embodiment can achieve the same objects and effects as the first embodiment described above. In addition, the second embodiment is directly electrically connected to the data processing device 2 by the physiological measuring device 1, which can simplify the system architecture and further reduce the device volume, providing a lower cost implementation option.

In summary, the sleep quality monitoring system of the present invention can not only measure and record the body temperature during the sleep of the human body, but also can automatically and inexpensively analyze the effect and quality of the sleep according to the recorded body temperature, so The object of the invention can be achieved.

However, the above is only the embodiment of the present invention, and the scope of the invention is not limited thereto, and all the simple equivalent changes and modifications according to the scope of the patent application and the patent specification of the present invention are still Within the scope of the invention patent.

<TABLE border="1" borderColor="#000000" width="85%"><TBODY><tr><td> 1 Physiological measuring device 11········· Temperature measuring unit 12··· ····· Storage unit 13········ Interface unit 14········ Battery unit 2 Data processing device 21········ Transmitting interface unit 22···· ···· Data storage unit 23········ Data analysis unit 3 Information display device</td><td> 4 Environmental monitoring device 91········ Curve 92····· ··· Curve 93········ Curve T1········ Sleeping time TP········ Sleeping temperature T2········ Sleeping time T3·· ······ Sleeping time T4···································································································

Other features and advantages of the present invention will be apparent from the following description of the drawings, wherein: Figure 1 is a block diagram of a first embodiment of the sleep quality monitoring system of the present invention; , a case in which the body temperature changes with time during sleep; FIG. 3 is an experimental measurement diagram illustrating that the physiological measurement device of the first embodiment outputs a data to the human body after the sleep of the first measurement day is completed. The integrated temperature data of the processing device; FIG. 4 is an experimental measurement diagram illustrating another body temperature data output by the physiological measuring device to the data processing device after the human body ends the sleep of the second measuring day; FIG. 5 is an experiment a measurement chart illustrating another body temperature data output by the physiological measurement device to the data processing device after the human body finishes sleep on the third measurement day; and FIG. 6 is a second embodiment of the sleep quality monitoring system of the present invention A circuit block diagram.

Claims (8)

A sleep quality monitoring system includes: a physiological measuring device that measures and records a body temperature related to a human body during sleep, and outputs a body temperature data related to a body temperature of the human body as a function of time; and a data processing device, a signal Connecting the physiological measuring device, the data processing device receives the body temperature data, and analyzing a sleep state according to the body temperature data, and determining a sleep effect of the human body according to at least the sleep state, the sleep state including a sleep time, the sleep Time is the time at which the saddle point first appears in the curve of the body's body temperature over time. The sleep quality monitoring system of claim 1, wherein the sleep state further comprises a sleep interval, a bedtime, a bedtime temperature, a wake-up time, a total sleep time interval, a sleep state report, and a sleep. At least one of the qualities. The sleep quality monitoring system of claim 2, wherein the data processing device analyzes the bedtime according to the body temperature data, and determines the sleep effect according to the sleep time and the bedtime, wherein the bedtime is the physiological measurement device Start recording the time of the body's body temperature. The sleep quality monitoring system of claim 3, wherein the data processing device calculates the sleep interval, and analyzes the sleep effect according to the sleep interval, wherein the sleep time is the bedtime and the sleep time The length of time interval between the two, if the sleep interval is not less than a first discriminating time interval, the data processing device determines that the sleep effect is not good. The sleep quality monitoring system of claim 3, wherein the data processing device analyzes the bed temperature, the wake time, and the total sleep time interval according to the body temperature data, wherein the bed temperature is the body time at the bedtime The body temperature, the wake-up time is a time when the body temperature of the human body rises to the bed temperature and is not lower than the body temperature, and the total sleep time interval is a length of time between the bedtime and the wake-up time. The sleep quality monitoring system of claim 1, wherein the physiological measuring device comprises a temperature measuring unit for measuring the body temperature of the human body, a storage unit electrically connected to the temperature measuring unit, and an electrical connection with the storage unit. The interface unit, and a battery unit that provides power to the temperature measuring unit, the storage unit and the interface unit, the temperature measuring unit outputs the body temperature data for storage by the storage unit according to the measured body temperature, and the storage unit outputs the body temperature And the data processing device comprises: a transmission interface unit corresponding to the interface unit of the physiological measurement device, a data storage unit connected to the transmission interface unit signal, and a signal storage unit signal a connected data analysis unit, the transmission interface unit receives the body temperature data by the interface unit and outputs a temporary storage data related to the body temperature data, the data storage unit receives and stores the temporary storage data and outputs a related to the temporary storage Data to be analyzed, the data analysis unit receives and analyzes the data to be analyzed and outputs at least the sleep effect . The sleep quality monitoring system of claim 1, wherein the data processing device comprises a data storage unit electrically connected to the physiological measurement device, and a data analysis unit coupled to the data storage unit, the data storage unit Receiving and storing the body temperature data and outputting a temperature related to the body temperature The data analysis unit receives and analyzes the data to be analyzed and outputs at least the sleep effect. The sleep quality monitoring system according to any one of claims 1 to 7, further comprising an information display device coupled to the data processing device and at least received by the data processing device and displaying the sleep effect.